{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import urllib.request\n",
    "import sqlalchemy\n",
    "import zipfile\n",
    "import random\n",
    "import itertools\n",
    "import math\n",
    "import shapefile\n",
    "from shapely.geometry import Polygon\n",
    "from descartes.patch import PolygonPatch\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "plt.style.use('ggplot')\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![mat](./matplot-figure.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "line = plt.plot(range(5))[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "line = plt.plot(range(5))[0]                # plot函数返回的是一个列表,因为可以同时画多条线的哦;\n",
    "line.set_color('r')\n",
    "line.set_linewidth(2.0)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "####################################\n",
    "plt.figure()\n",
    "line = plt.plot(range(5))[0]\n",
    "line.set(color = 'g',linewidth = 2.0)\n",
    "plt.show() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "lines = plt.plot(range(5),range(5),range(5),range(8,13)) \n",
    "plt.setp(lines, color = 'g',linewidth = 2.0)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(1)        # 创建了一个figure对象;\n",
    "\n",
    "# figure对象的add_axes()可以在其中创建一个axes对象,\n",
    "# add_axes()的参数为一个形如[left, bottom, width, height]的列表,取值范围在0与1之间;\n",
    "# 我们把它放在了figure图形的上半部分，对应参数分别为：left, bottom, width, height;\n",
    "ax = fig.add_axes([0.1, 0.5, 0.8, 0.5])\n",
    "ax.set_xlabel('x')           # 用axes对象的set_xlabel函数来设置它的xlabel\n",
    "ax.set_ylabel('y')\n",
    "line =ax.plot(range(5))[0]      # 用axes对象的plot()进行绘图,它返回一个Line2D的对象;\n",
    "line.set_color('g')             # 再调用Line2D的对象的set_color函数设置color的属性;\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "plt.figure('正弦曲线')                   # 调用figure函数创建figure(1)对象,可以省略,这样那plot时,它就自动建一个啦;\n",
    "\n",
    "t = np.arange(0.0, 4.0, 0.1)\n",
    "s = np.sin(np.pi*t)\n",
    "plt.plot(t, s, 'g--o', label = 'sinx')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure('正弦曲线')                   # 调用figure函数创建figure(1)对象,可以省略,这样那plot时,它就自动建一个啦;\n",
    "\n",
    "t = np.arange(0.0, 4.0, 0.1)\n",
    "s = np.sin(np.pi*t)\n",
    "plt.plot(t, s, 'g--o', label = 'sinx')\n",
    "\n",
    "plt.legend()                    # 显示右上角的那个label,即上面的label = 'sinx'\n",
    "plt.xlabel('time (s)')          # 设置x轴的label，pyplot模块提供了很直接的方法，内部也是调用的上面当然讲述的面向对象的方式来设置；\n",
    "plt.ylabel('voltage (mV)')      # 设置y轴的label;\n",
    "plt.xlim(-1,3)                 # 可以自己设置x轴的坐标的范围哦;\n",
    "plt.ylim(-1.5,1.5)\n",
    "plt.title('About as simple as it gets, folks')\n",
    "plt.grid(True)                  # 显示网格;\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXwAAAD8CAYAAAB0IB+mAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjAsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8GearUAAAWfUlEQVR4nO3df6jcd53v8ee5Sf1D/JHlFtaatm5Z0r2posLpSen+0+O9SNJazBX0bRq5iyKGaCP7jxD2D2939Z8Kym0l1W5aNBSh4Y0GLSVu/xBCXbzhjil2NS17CenFnta1VBcl6x8lOvePmYRhcs6Zz5n5fud7ks/zAQfOzHzOvL5ffeV9vvM9850u9Pt9JEnXvv/U9QZIkubDgS9JlXDgS1IlHPiSVAkHviRVwoEvSZXYOmlBRHwLuBd4LTPfs8rjC8DDwD3AH4BPZuZzTW+o1DS7rdqUHOEfA/as8/jdwI7h1wHgm7NvljQXx7DbqsjEgZ+ZzwK/XWfJXuCJzOxn5mlgW0Tc0NQGSm2x26rNxFM6BbYDL4/cXhne96vxhRFxgMGREpm52EC2tJ6FGX/ebmuzmqrbTQz81YJX/byGzDwKHL28ZmHWf49T6vVgaame3C6zu8pt5iNDpu72wj/Mv9u9z/RYeqybfnWVXeM+9x+YvttNvEtnBbhp5PaNwKsNPK/UNbuta0oTR/hPAYci4jhwB/C7zLziJa90FbLbuqaUvC3zSWAZuD4iVoAHgOsAMvNR4CSDt62dY/DWtU+1tbFSk+y2ajNx4GfmfRMe7wP3N7ZF0pzYbdXGK20lqRIOfEmqhANfkirhwJekSjjwJakSDnxJqoQDX5Iq4cCXpEo48CWpEg58SaqEA1+SKuHAl6RKOPAlqRIOfEmqhANfkirhwJekSjjwJakSDnxJqoQDX5Iq4cCXpEo48CWpEg58SaqEA1+SKrG1ZFFE7AEeBrYAj2fmg2OPLwM/AF4a3nUiM7/U4HZKjbPXqs3EgR8RW4BHgA8CK0AvIp7KzBfGlv44M+9tYRulxtlr1ajklM4u4Fxmns/MN4DjwN52N0tqnb1WdUpO6WwHXh65vQLcscq6OyPieeBV4AuZeXZ8QUQcAA4AZCb0ehvf4ibs3NlNdle5XWZ3uc/ra6zXcGW3e5+Z/z7vvH5nJ7ldZte4z7MoGfgLq9zXH7v9HPCuzLwQEfcA3wd2jP9QZh4Fjl5+jqWljWxrc3o9OsnuKrfL7K5y++MVvUJjvYYru7302Pz3ufeZHl3kdpld4z73H5jY7TWVnNJZAW4auX0jg6OdyzLz95l5Yfj9SeC6iLh+6q2S2mevVZ2SI/wesCMibgFeAfYB+0cXRMQ7gF9nZj8idjH4RfKbpjdWapC9VnUmHuFn5kXgEPAM8OLgrjwbEQcj4uBw2UeBXwzPdX4d2JeZ07/ukFpmr1WjovfhD1/Onhy779GR748AR5rdNKld9lq18UpbSaqEA1+SKuHAl6RKOPAlqRIOfEmqhANfkirhwJekSjjwJakSDnxJqoQDX5Iq4cCXpEo48CWpEg58SaqEA1+SKuHAl6RKOPAlqRIOfEmqhANfkirhwJekSjjwJakSDnxJqoQDX5Iq4cCXpEpsLVkUEXuAh4EtwOOZ+eDY4wvDx+8B/gB8MjOfa3hbpUbZa9Vm4hF+RGwBHgHuBm4D7ouI28aW3Q3sGH4dAL7Z8HZKjbLXqlHJKZ1dwLnMPJ+ZbwDHgb1ja/YCT2RmPzNPA9si4oaGt1Vqkr1WdUpO6WwHXh65vQLcUbBmO/Cr0UURcYDBkRKZCf3+Rre3OV1lu8+bRWO9hiu73X+gm33uKrfL7Br3eVolR/gLq9w3vpcla8jMo5l5e2beHhFnhj8396+ust3nueeuZ2GV+6bqNWyObtuvOrILur2mkoG/Atw0cvtG4NUp1kibib1WdUpO6fSAHRFxC/AKsA/YP7bmKeBQRBxn8LL4d5l5xcteaROx16rOxCP8zLwIHAKeAV4c3JVnI+JgRBwcLjsJnAfOAY8BnyvIPjrdJjeiq2z3eZPkttjridktsl91ZE+du9DfnH9QkyQ1zCttJakSDnxJqkTRRyvMoqvL1wtyPwEcHt68AHw2M5+fNbcke2TdEnAa+HhmfnceuRGxDDwEXAe8npl3zZpbkh0Rbwe+A9zMoHdfzcxvN5D7LeBe4LXMfM8qj3fVr1ZyC7Nb6XZXvS7NbqPb11qvWz3C7+ry9cLcl4C7MvO9wJdp6A8whdmX1n2FwR8N55IbEduAbwAfzsx3Ax+bVzZwP/BCZr4PWAa+FhFvaiD+GLBnnce76lcrH8vQVbe76nVpdhvdvhZ7PfEIf8bfNJcvXx+uvXT5+gsjT3H58nXgdERsi4gbZnz728TczPzJyPrTDN5j3YSSfQb4PPA9YGmOufuBE5n5S4DMfG2O2X3grcO+vAX4LXBx1uDMfDYi/mKdJWv2a4Zud9VrSrJb6nZXvS7NbqPbV2Wv13vekiP8Y0z/m2atS9PZ4JqN2uhzfhr44YyZxdkRsR34CPBoQ5lFucCtwJ9FxKmIOBMRfzPH7CPATgYXLv0c+NvM/FND+dNu2zGm63ZXvZ7meZvqdle9LsqmnW5frb1eU8n78J9l8FtrLet9wNTCKuunvnx9A4qfMyI+wOAfxeHVHm8p+yHgcGb+saHM0tytwCLwIWA38MWIuHVO2buBnwHvBN4PHImItzWQPcma2zZDt7vq9Yaet+Fud9Xr0uw2un1V9nrdHyp5H/7wpcXTa7zsfRp4MDP/eXj7Rwz+T/9pRNwJ/H1m7h4+doLBy6R/y8zFicHSbBYi4h+BU5n5JEBE/CuwfOml7zTdZvBHwdFe/x2DUxg3A9httS0ijrJOr9fSxLt01vtNM375+l8CuzPzLNBfWO0n56DXg6UmzzBu8twus7vKHTmOmeXjEdbq9qofyzDsNUD/1Kn5l3txsceZM90UrKvsGvd5ebkPU/a6iXfprPkBU+tdvt5ArlRi2o9HgDW6XfixDFKbpup1E0f46/6mycyTw41j5L5H8b8epDkYvovh/il/fM1ur9NrsNtq2bS9Lnlb5pMM3l96fUSsAA8wOId5qeAnGbxt7RyDt659aqMbIXXBbqs2Ewd+Zt434fFZjqCkztht1cbP0pGkSjjwJakSDnxJqoQDX5Iq4cCXpEo48CWpEg58SaqEA1+SKuHAl6RKOPAlqRIOfEmqhANfkirhwJekSjjwJakSDnxJqoQDX5Iq4cCXpEo48CWpEg58SaqEA1+SKuHAl6RKOPAlqRIOfEmqxNaSRRGxB3gY2AI8npkPjj2+DPwAeGl414nM/FKD2yk1zl6rNhMHfkRsAR4BPgisAL2IeCozXxhb+uPMvLeFbZQaZ69Vo5JTOruAc5l5PjPfAI4De9vdLKl19lrVKTmlsx14eeT2CnDHKuvujIjngVeBL2Tm2fEFEXEAOACQmfR6G9/gJuzcSSfZXeV2md3lPk/QWK/hym4vLs5/p9/85p2d5HaZXeM+z6Jk4C+scl9/7PZzwLsy80JE3AN8H9gx/kOZeRQ4euk5lpY2sqnN6fWgi+yucrvM7iq3P97QKzXWa7iy22fOzH+nFxd7dJHbZXaN+7y8PLncayk5pbMC3DRy+0YGRzuXZebvM/PC8PuTwHURcf3UWyW1z16rOiVH+D1gR0TcArwC7AP2jy6IiHcAv87MfkTsYvCL5DdNb6zUIHut6kw8ws/Mi8Ah4BngxcFdeTYiDkbEweGyjwK/GJ7r/DqwLzOnf90htcxeq0YL/YKTnS3pL6x2FnUOajuf3WV2x+fwO2oY/VOn5h9d4/nsGvd5eA5/qoJ5pa0kVcKBL0mVcOBLUiUc+JJUCQe+JFXCgS9JlXDgS1IlHPiSVAkHviRVwoEvSZVw4EtSJRz4klQJB74kVcKBL0mVcOBLUiUc+JJUCQe+JFXCgS9JlXDgS1IlHPiSVAkHviRVwoEvSZVw4EtSJbaWLIqIPcDDwBbg8cx8cOzxheHj9wB/AD6Zmc81vK1So+y1ajPxCD8itgCPAHcDtwH3RcRtY8vuBnYMvw4A32x4O6VG2WvVqOSUzi7gXGaez8w3gOPA3rE1e4EnMrOfmaeBbRFxQ8PbKjXJXqs6Jad0tgMvj9xeAe4oWLMd+NXooog4wOBIicyk39/o5janq2z3edNorNdwZbeXl7vZ6a5yu8yucZ+nVXKEv7DKfeN7WbKGzDyambdn5u0RcWb4c3P/6irbfZ577noWVrlvql7D5ui2/aoju6DbayoZ+CvATSO3bwRenWKNtJnYa1Wn5JROD9gREbcArwD7gP1ja54CDkXEcQYvi3+XmVe87JU2EXut6kw8ws/Mi8Ah4BngxcFdeTYiDkbEweGyk8B54BzwGPC5guyj021yI7rKdp83SW6LvZ6Y3SL7VUf21LkL/U36FzVJUrO80laSKuHAl6RKFH20wiy6uny9IPcTwOHhzQvAZzPz+VlzS7JH1i0Bp4GPZ+Z355EbEcvAQ8B1wOuZedesuSXZEfF24DvAzQx699XM/HYDud8C7gVey8z3rPJ4V/1qJbcwu5Vud9Xr0uw2un2t9brVI/yuLl8vzH0JuCsz3wt8mYb+AFOYfWndVxj80XAuuRGxDfgG8OHMfDfwsXllA/cDL2Tm+4Bl4GsR8aYG4o8Be9Z5vKt+tfKxDF11u6tel2a30e1rsdcTj/Bn/E1z+fL14dpLl6+/MPIUly9fB05HxLaIuGHGt79NzM3Mn4ysP83gPdZNKNlngM8D3wOW5pi7HziRmb8EyMzX5pjdB9467MtbgN8CF2cNzsxnI+Iv1lmyZr9m6HZXvaYku6Vud9Xr0uw2un1V9nq95y05wj/G9L9p1ro0nQ2u2aiNPuengR/OmFmcHRHbgY8AjzaUWZQL3Ar8WUSciogzEfE3c8w+AuxkcOHSz4G/zcw/NZQ/7bYdY7pud9XraZ63qW531euibNrp9tXa6zWVvA//WQa/tday3gdMLayyfurL1zeg+Dkj4gMM/lEcXu3xlrIfAg5n5h8byizN3QosAh8CdgNfjIhb55S9G/gZ8E7g/cCRiHhbA9mTrLltM3S7q15v6Hkb7nZXvS7NbqPbV2Wv1/2hkvfhD19aPL3Gy96ngQcz85+Ht3/E4P/0n0bEncDfZ+bu4WMnGLxM+rfMXJwYLM1mISL+ETiVmU8CRMS/AsuXXvpO020GfxQc7fXfMTiFcTOA3VbbIuIo6/R6LU28S2e93zTjl6//JbA7M88C/YVTpxqI37je4iJLZ6b+/KGrLrfL7K5y+8vLl76d5eMR1ur2qh/LMOw1QH9hYbUfbVev12NpqclT55s/u8Z9Hh6kT9XrJt6ls+YHTK13+XoDuVKJaT8eAdboduHHMkhtmqrXTRzhr/ubJjNPDjeOkfsexf96kOZg+C6G+6f88TW7vU6vwW6rZdP2uuRtmU8yeH/p9RGxAjzA4BzmpYKfZPC2tXMM3rr2qY1uhNQFu63aTBz4mXnfhMdnOYKSOmO3VRs/S0eSKuHAl6RKOPAlqRIOfEmqhANfkirhwJekSjjwJakSDnxJqoQDX5Iq4cCXpEo48CWpEg58SaqEA1+SKuHAl6RKOPAlqRIOfEmqhANfkirhwJekSjjwJakSDnxJqoQDX5Iq4cCXpEo48CWpEltLFkXEHuBhYAvweGY+OPb4MvAD4KXhXScy80sNbqfUOHut2kwc+BGxBXgE+CCwAvQi4qnMfGFs6Y8z894WtlFqnL1WjUpO6ewCzmXm+cx8AzgO7G13s6TW2WtVp+SUznbg5ZHbK8Adq6y7MyKeB14FvpCZZ8cXRMQB4ABAZtJbXNz4Fjdg55vf3El2V7ldZne5zxM01mtYpdu9XsObO9nOnTs7ye0yu8Z9nkXJwF9Y5b7+2O3ngHdl5oWIuAf4PrBj/Icy8yhw9NJzLJ05s5FtbUxvcZEusrvK7TK7q9z+8vKkJY31Glbp9tJS+cY2pNfr0UVul9k17nO/P17TciWndFaAm0Zu38jgaOeyzPx9Zl4Yfn8SuC4irp96q6T22WtVp+QIvwfsiIhbgFeAfcD+0QUR8Q7g15nZj4hdDH6R/KbpjZUaZK9VnYlH+Jl5ETgEPAO8OLgrz0bEwYg4OFz2UeAXw3OdXwf2Zeb0rzukltlr1ajoffjDl7Mnx+57dOT7I8CRZjdNape9Vm280laSKuHAl6RKOPAlqRIOfEmqhANfkirhwJekSjjwJakSDnxJqoQDX5Iq4cCXpEo48CWpEg58SaqEA1+SKuHAl6RKOPAlqRIOfEmqhANfkirhwJekSjjwJakSDnxJqoQDX5Iq4cCXpEo48CWpEltLFkXEHuBhYAvweGY+OPb4wvDxe4A/AJ/MzOca3lapUfZatZl4hB8RW4BHgLuB24D7IuK2sWV3AzuGXweAbza8nVKj7LVqVHJKZxdwLjPPZ+YbwHFg79iavcATmdnPzNPAtoi4oeFtlZpkr1WdklM624GXR26vAHcUrNkO/Gp0UUQcYHCkRGbSX17e4OY2p6ts93nTaKzXsEq3+/1GN7ZUV7ldZte4z9MqOcJfWOW+8b0sWUNmHs3M2zPz9og4M/y5uX91le0+zz13PQur3DdVr2FzdNt+1ZFd0O01lQz8FeCmkds3Aq9OsUbaTOy1qlNySqcH7IiIW4BXgH3A/rE1TwGHIuI4g5fFv8vMK172SpuIvVZ1Jh7hZ+ZF4BDwDPDi4K48GxEHI+LgcNlJ4DxwDngM+FxB9tHpNrkRXWW7z5skt8VeT8xukf2qI3vq3IWr7Y8OkqTpeKWtJFXCgS9JlSj6aIVZdHX5ekHuJ4DDw5sXgM9m5vOz5pZkj6xbAk4DH8/M784jNyKWgYeA64DXM/OuWXNLsiPi7cB3gJsZ9O6rmfntBnK/BdwLvJaZ71nl8a761UpuYXYr3e6q16XZbXT7Wut1q0f4XV2+Xpj7EnBXZr4X+DIN/QGmMPvSuq8w+KPhXHIjYhvwDeDDmflu4GPzygbuB17IzPcBy8DXIuJNDcQfA/as83hX/WrlYxm66nZXvS7NbqPb12Kv2z6l09Xl6xNzM/Mnmfnvw5unGbzHugkl+wzweeB7wGtzzN0PnMjMXwJk5jyz+8Bbh0cmbwF+C1ycNTgznx0+11o66VdLuUXZLXW7q16XZrfR7Wuu122f0mn08vWGc0d9GvjhDHkbyo6I7cBHgP8KLM0rF7gVuC4iTgFvBR7OzCfmlH2EwfvaXx1mfzwz/9RA9jTbNo9+tZFbmj2qqW531euibNrp9jXX67aP8BdWuW/qy9cbzgUgIj7A4B/F4dUebyn7IeBwZv6xoczS3K3AIvAhYDfwxYi4dU7Zu4GfAe8E3g8ciYi3NZA9SVf9aiN3Q8/bcLe76nVpdhvdvuZ63fbA7+ry9aLnjIj3Ao8DezPzNzNmbiT7duB4RPw/4KPANyLiv88hdwX4p8z8j8x8HXgWeN+MuaXZn2LwkrufmecYnGf+Lw1kN7FtbTxnWx/L0FW3u+p1aXYb3b7met32KZ2uLl+fmBsRNwMngP+Rmf93xrwNZWfmLSPbcQx4OjO/33Yu8AMGRyBbgTcx+N/7f82YW5r9S+C/AT+OiD8H/orBVaxt66RfLeUWZbfU7a56XZRNO92+5nrd6hF+y5evz5r7P4H/zOAo5GcR8dNZczeQ3biS3Mx8Efgn4F+A/8PgbWa/mEc2g3eL/HVE/Bz4EYOX/q/Pmh0RTwL/G/iriFiJiE9vkn41nruB7Ma73VWvS7Pb6Pa12Gs/WkGSKuGVtpJUCQe+JFXCgS9JlXDgS1IlHPiSVAkHviRVwoEvSZX4/yWu4R2dsy/RAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 填充彩色子图\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "for i, color in enumerate('rgbyck'):\n",
    "    plt.subplot(321+i, facecolor = color)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### https://www.cnblogs.com/shaosks/p/9849446.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.linspace(0, 2, 100)\n",
    "\n",
    "plt.plot(x, x, label='linear')\n",
    "plt.plot(x, x**2, label='quadratic')\n",
    "plt.plot(x, x**3, label='cubic')\n",
    "\n",
    "plt.xlabel('x label')\n",
    "plt.ylabel('y label')\n",
    "\n",
    "plt.title(\"Simple Plot\")\n",
    "\n",
    "plt.legend()\n",
    "plt.grid(False)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAgQAAAAvCAYAAACc9tJKAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjAsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8GearUAAAFYUlEQVR4nO3dTUhUfRvH8W8pZlJEWC6ilMoQF2EgZVBEdHxBgiDUIEJdBIqbsiAKi/Bp0SbI2ihYi2hTElJxRxZmm0gwKSyIIBiFhimEKEgDJ9+exUPDI5nd0z3dDvX9gDDnOpw/1xGG+c3FmXMWTE9PI0mS/mwL57sBSZI0/wwEkiTJQCBJkgwEkiQJA4EkSQJS59r59u1bf4IgSdJvYtWqVQu+t88JgSRJMhBIkiQDgSRJwkAgSZIwEEhJo7KykvLy8tj28+fPqays/OFxRUVFfPjwAYANGzYAEA6H2bVr1y/pMxwOc/PmzZ86dnh4mJqaGgBevXpFY2NjIluT9A8YCKQk8v79ex4+fDjfbczpZwLBxMQEAO3t7Rw4cACA/Px83r17RyQSSXiPkuJnIJCSSENDAxcvXvym3tHRwcmTJ2PbNTU19Pb2xr3+o0ePKC0tJQgCjh49SjQaBWBgYIA9e/ZQXFzM7t27GR0dJRwOs3fvXsrKyigrK6O/vx+As2fP8uTJE0pKSmhvb2dsbIwjR44QBAGlpaU8fvw41nNdXR21tbXs378fgLt377Jz585YPyUlJdy+fTvu85CUeAYCKYkUFhaSlpYW+1BNpK8f3G1tbfT09DAxMcHVq1f58uULDQ0NnDlzhgcPHnD9+nXS09NZsWIF165d4/79+7S1tXH69GkAmpqa2LJlC93d3dTV1XHlyhUAenp6aG1tpbGxkbGxMQCePn3KhQsXuHHjBm/evGHZsmUsWrQo1lNBQQF9fX0JP1dJ8TMQSEnm8OHDs04J/qlQKER2djbr168HoKqqir6+PkKhEFlZWWzatAmApUuXkpqayvj4OMeOHSMIAurr63n9+vWs6/b391NRUQFAbm4uq1evZnBwEIAdO3awfPly4H/XD2RmZs44NjMzk+Hh4YSfq6T4GQikJLN9+3ai0SjPnj2L1VJTU5mamoptfx31x2N6evYbj05PT7Ngwbc3L7t06RIrV66ku7ubrq4uxsfH41oXICMjI/Z68eLF3/QdjUZJT0//O+1L+sUMBFISOnToEK2trbHtNWvW8PLlS6ampohEIgwMDMS9Zm5uLuFwmKGhIQA6OzvZunUrubm5DA8Px9YcHR1lYmKCT58+kZWVxcKFC+ns7GRychKAJUuW8Pnz59i6RUVFsYsMQ6EQkUgkNoX4f+vWrSMcDs+oDQ4OkpeXF/e5SEq8OZ9lIOnXq66u5ty5czNqQRDMGK9v3ryZ7OxsgiAgLy+PjRs3/nDdUChEYWFhbLu5uZnz589TX1/P5OQkBQUFVFdXk5aWRltbG6dOnWJsbIz09HQ6Ojqora2lrq6OO3fusG3btti3/fz8fFJSUiguLmbfvn3U1tZy4sQJgiAgJSWFlpaWGdcJfJWRkUFOTg5DQ0OsXbsWgN7eXoIg+Kn/m6TEWjDXuM+HG0lKpK6uLl68eMHx48eJRqNUVFRw69YtUlP9biL9G+Z6uJHvQkn/mvLycj5+/AhAJBKhqanJMCAlCScEkiT9IX56QjB5rinx3UiSpPnRcuW7u+acEABOCCRJ+r3MOiVIaW5u/u4RLS0tzTk5OYyMjMT+Ll++jLXE1pKtH2vWrP1etWTrx9r81Q4ePHipqqrqr7gDwcjISHNWVtY3dWuJryVbP9asWfu9asnWj7X5qd27d+8/VVVVs9521IsKJUn6Q8x1UaF3KpQkSQYCSZJkIJAkSRgIJEkSBgJJkoSBQJIkYSCQJEkYCCRJEgYCSZKEgUCSJGEgkCRJGAgkSRIGAkmSxA+edihJkv4MTggkSZKBQJIkGQgkSRIGAkmShIFAkiRhIJAkScB/AXib8nv8/dPEAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 512x280 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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JjY1l0KBBpKamfgM8BFwGErKyssqba0ve8KIgyel4rpJVcjqeq2SVnI4nb3gRQgghbGDPYLZCCCHEv4L0/IQQQrQ6UvyEEEK0OlL8hBBCtDpS/IQQQrQ6UvyEEEK0OlL8hBBCtDr/D/XFCD7KqLS3AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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hhDA5UvyEEEKYHCl+QgghTI4UPyGEECZHip8QQgiTI8VPCCGEyfl/33aclhmnEesAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "def tickline():\n",
    "    plt.xlim(0, 10), plt.ylim(-1, 1), plt.yticks([])\n",
    "    ax = plt.gca()\n",
    "    ax.spines['right'].set_color('none')\n",
    "    ax.spines['left'].set_color('none')\n",
    "    ax.spines['top'].set_color('none')\n",
    "    ax.xaxis.set_ticks_position('bottom')\n",
    "    ax.spines['bottom'].set_position(('data',0))\n",
    "    ax.yaxis.set_ticks_position('none')\n",
    "    ax.xaxis.set_minor_locator(plt.MultipleLocator(0.1))\n",
    "    ax.plot(np.arange(11), np.zeros(11))\n",
    "    return ax\n",
    "\n",
    "locators = [\n",
    "'plt.NullLocator()',\n",
    "'plt.MultipleLocator(1.0)',\n",
    "'plt.FixedLocator([0, 2, 8, 9, 10])',\n",
    "'plt.IndexLocator(3, 1)',\n",
    "'plt.LinearLocator(5)',\n",
    "'plt.LogLocator(2, [1.0])',\n",
    "'plt.AutoLocator()',\n",
    "]\n",
    "\n",
    "n_locators = len(locators)\n",
    "\n",
    "size = 512, 40 * n_locators\n",
    "dpi = 72.0\n",
    "figsize = size[0] / float(dpi), size[1] / float(dpi)\n",
    "fig = plt.figure(figsize=figsize, dpi=dpi)\n",
    "fig.patch.set_alpha(0)\n",
    "\n",
    "\n",
    "for i, locator in enumerate(locators):\n",
    " plt.subplot(n_locators, 1, i + 1)\n",
    " ax = tickline()\n",
    " ax.xaxis.set_major_locator(eval(locator))\n",
    " plt.text(5, 0.3, locator[3:], ha='center')\n",
    " plt.subplots_adjust(bottom=.01, top=.99, left=.01, right=.99)\n",
    " plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.arange(0, 5, 0.1)\n",
    "y = np.sin(x)\n",
    "plt.plot(x, y)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.arange(0, 10, 0.2)\n",
    "y = np.sin(x)\n",
    "fig, ax = plt.subplots()\n",
    "ax.plot(x, y)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.arange(0, 10, 0.2)\n",
    "y = np.sin(x)\n",
    "# fig, ax = plt.subplots()\n",
    "plt.plot(x, y)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "range(0, 5)"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "range(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "range(0, 5)"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a = range(5)\n",
    "a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
